Brainscape's Knowledge GenomeTM


Top Flashcards (Certified)
All Flashcards

PSYCH104 PSYCHOLOGICAL STATISTICS > LESSON 6: STATISTICAL TOOLS > Flashcards

LESSON 6: STATISTICAL TOOLS Flashcards

1
Q

To know if the research instruments we use are precisely measuring the variables, we investigate

A

Exploring Instrument Reliability

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Measure the internal consistency of the questionnaire.

A

Cronbach alpha and McDonald’s Omega

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Accepted measurement of reliability

A

0.70 - 0.80

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

STATISTICAL TOOL TO EXPLORE ASSUMPTIONS

  • Check the distribution of data, p>0.05 - normal data, p<0.05 - non-normal data
  • Continuous Data
A

Shapiro Wilk Test
Kolmogorov Smirnov Test

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

STATISTICAL TOOL TO EXPLORE ASSUMPTIONS

  • Assume that variances of the population from which different samples are drawn are equal, p>0.05 - equal variances, p<0.05 - do not assume equal variances.
  • Continuous Data
A

Levene’s Test

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

STATISTICAL TOOL USED TO EXPLORE RELATIONSHIP

  • Tests for the strength of the association between two continuous variables.
  • Two Continuous Data
  • Normal Data
A

Pearson Correlation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

STATISTICAL TOOL USED TO EXPLORE RELATIONSHIP

  • Allows to control for possible effects of another confounding variable (e.g. socially desirable responding).
  • Two Continuous Data
  • Normal Data
A

Partial Correlation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

STATISTICAL TOOL USED TO EXPLORE RELATIONSHIP

  • Tests for the strength of the association between two ordinal variables.
  • Ordinal Variable and One Continuous Data
  • Non-Normal Data
A

Spearman Correlation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

STATISTICAL TOOL USED TO EXPLORE RELATIONSHIP

  • Two Continuous Data
  • One Nominal Data
  • Normal Data
  • Independence from errors
A

Multiple Regression

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

STATISTICAL TOOL USED TO EXPLORE RELATIONSHIP

Test the predictive validity of one (1) independent variable on one continuous measure (dv).
One Continuous Data or Nominal Data
Do not assume normality

A

Ordinary Least Square
Or
Simple Regression

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

STATISTICAL TOOL USED TO EXPLORE RELATIONSHIP

  • Allows to condense a large set of variables or scale items down to smaller, more manageable number of dimensions.
  • Continuous Data
  • Normal Data
A

Factor Analysis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

STATISTICAL TOOL USED TO EXPLORE RELATIONSHIP

  • Tests for the strength of the association between two categorical variables.
  • Categorical Data
  • Large Sample Size
  • Non-normal Data
A

Chi Square Test for Relatedness/Independence

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

STATISTICAL TEST USED TO EXPLORE DIFFERENCES

  • Tests the difference between two sets of observations (before and after)
  • Two Continuous data
  • Normal data
A

T-test for paired sample known as repeated measure

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

STATISTICAL TEST USED TO EXPLORE DIFFERENCES

  • Test the difference between the means of two unrelated independent groups
  • Two Continuous data
  • Categorical and continuous data
  • Normal data
A

T-test for independent sample

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

STATISTICAL TEST USED TO EXPLORE DIFFERENCES

  • Test the difference between a sample mean
  • Ordinal variable and continuous
  • Two ordinal data
  • Nominal and ordinal variable
  • Normal data
A

T-test for one sample

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

STATISTICAL TEST USED TO EXPLORE DIFFERENCES

  • Test the differences among two or more groups and you wish to compare their mean scores on continuous variable
  • Categorical and continuous data
A

One way analysis of variance

17
Q

STATISTICAL TEST USED TO EXPLORE DIFFERENCES

  • Test the differences among two independent variables. Good for testing interaction effects and main effects
  • Two categorical data and one continuous data
A

Two way analysis of variance

18
Q

STATISTICAL TEST USED TO EXPLORE DIFFERENCES

  • Test for comparing group with groups of number of different but related variables
  • Categorical and continuous data
A

Multivariate analysis of variance

19
Q

TEST USED FOR NON-NORMALLY DISTRIBUTED DATA

  • Test differences on a dichotomous dependent variable between two related groups (before and after)
  • Nominal data and Dichotomous data
A

McNemar Test

20
Q

TEST USED FOR NON-NORMALLY DISTRIBUTED DATA

  • Alternative to Independent Sample T-Test
  • Categorical and Continuous data
A

Wilcoxon rank-sum test

21
Q

TEST USED FOR NON-NORMALLY DISTRIBUTED DATA

  • Alternative to Independent Sample T-Test
  • Ordinal data
  • Categorical and Continuous data
A

Mann Whitney U-test

22
Q

TEST USED FOR NON-NORMALLY DISTRIBUTED DATA

  • Alternative to paired sample t-test
  • Categorical and Continuous data
A

Wilcoxon sign-rank test

23
Q

TEST USED FOR NON-NORMALLY DISTRIBUTED DATA

  • Alternative to ANOVA
  • Categorical and Continuous data
A

Kruskal-Wallis Test and Friedman Test

PSYCH104 PSYCHOLOGICAL STATISTICS (6 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2025 Bold Learning Solutions. Terms and Conditions